The analysis has been conducted using the new FTLS software developed in python.
%run C:\Users\MANU\Funcion_plots.ipynb
from IPython.display import display
from IPython.display import HTML
import plotly.io as pio
pio.renderers.default='notebook'
#!jupyter nbextension enable hide_input_all/main
print function loaded
earthquake='Coalinga'
folder = r'C:\Users\MANU\PycharmProjects\ftls_v11-4CLASSES_sensitivity\ftls_events\1983_05_02_T_23_42_38_M67CAL_staking'
bar_chart_fp(folder)
plot_box_3d(folder)
scatter_plot_evs(folder)
temporal_series_b(folder)
alert_status_plot(folder)
df_nuova_riga=table_specific(folder, earthquake)
df_nuova_riga=table_specific(folder, earthquake)
from IPython.display import display, Markdown
df_nuova_riga = df_nuova_riga.to_markdown(index=False)
display(Markdown(df_nuova_riga))
| Earthquake | Date | Magnitude | b_ref | b-Max3 | b-Max7 | b-Max30 | b-Max90 | Strike | Dip | Rake | Fault type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Coalinga | 1983-05-02 23:42:38.060000 | 6.7 | 0.75 | 138.05 | 138.05 | 148.43 | 148.43 | 320 | 30 | 87 | TH |